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nRegression: Simulation-Based Calculations of Sample Size for Linear and Logistic Regression

Provides a function designed to estimate the minimal sample size required to attain a specific statistical power in the context of linear regression and logistic regression models through simulations.

Version: 0.5.1
Depends: R (≥ 4.0.0)
Imports: data.table, covr, simitation, stats
Suggests: knitr, rmarkdown, dplyr, testthat (≥ 3.0.0), devtools
Published: 2023-10-17
DOI: 10.32614/CRAN.package.nRegression
Author: David Shilane [aut], Srivastav Budugutta [ctb, cre], Mayur Bansal [ctb]
Maintainer: Srivastav Budugutta <sb4788 at columbia.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: nRegression results

Documentation:

Reference manual: nRegression.pdf
Vignettes: Introduction to nRegression

Downloads:

Package source: nRegression_0.5.1.tar.gz
Windows binaries: r-devel: nRegression_0.5.1.zip, r-release: nRegression_0.5.1.zip, r-oldrel: nRegression_0.5.1.zip
macOS binaries: r-release (arm64): nRegression_0.5.1.tgz, r-oldrel (arm64): nRegression_0.5.1.tgz, r-release (x86_64): nRegression_0.5.1.tgz, r-oldrel (x86_64): nRegression_0.5.1.tgz
Old sources: nRegression archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nRegression to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.